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arXiv · 2007.00478

PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

Andre G. C. Pacheco·Gustavo R. Lima·Amanda S. Salomão·Breno A. Krohling·Igor P. Biral·Gabriel G. de Angelo·Fábio C. R. Alves Jr·José G. M. Esgario·Alana C. Simora·Pedro B. C. Castro·Felipe B. Rodrigues·Patricia H. L. Frasson·Renato A. Krohling·Helder Knidel·Maria C. S. Santos·Rachel B. do Espírito Santo·Telma L. S. G. Macedo·Tania R. P. Canuto·Luíz F. S. de Barros
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Abstract

Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to design them. To fill this gap, we release a skin lesion benchmark composed of clinical images collected from smartphone devices and a set of patient clinical data containing up to 22 features. The dataset consists of 1,373 patients, 1,641 skin lesions, and 2,298 images for six different diagnostics: three skin diseases and three skin cancers. In total, 58.4% of the skin lesions are biopsy-proven, including 100% of the skin cancers. By releasing this benchmark, we aim to aid future research and the development of new tools to assist clinicians to detect skin cancer.

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Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão, Breno A. Krohling, Igor P. Biral, Gabriel G. de Angelo, Fábio C. R. Alves Jr, José G. M. Esgario, Alana C. Simora, Pedro B. C. Castro, Felipe B. Rodrigues, Patricia H. L. Frasson, Renato A. Krohling, Helder Knidel, Maria C. S. Santos, Rachel B. do Espírito Santo, Telma L. S. G. Macedo, Tania R. P. Canuto, Luíz F. S. de Barros. 2020-07-01. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. https://arxiv.org/abs/2007.00478

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